Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion

Neurocomputing

Volumn 72, Issue 16-18, 2009, Pages 3713-3725

  Anton Rodriguez M ^a   Diaz Pernas F J ^a   Diez Higuera J F ^a   Martinez Zarzuela M ^a   Gonzalez Ortega D ^a   Boto Giralda, D ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Adaptive resonance theory; Colour image segmentation; Colour opponent processes; Neural classifier; Orientation invariance; Texture recognition

Indexed keywords

ADAPTIVE RESONANCE THEORY; COLOUR IMAGE SEGMENTATION; COLOUR-OPPONENT PROCESSES; NEURAL CLASSIFIER; ORIENTATION-INVARIANCE; TEXTURE RECOGNITION;

ARCHITECTURAL DESIGN; CLASSIFIERS; COLOR VISION; DIFFUSION; DIGITAL IMAGE STORAGE; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; LEARNING SYSTEMS; NEURAL NETWORKS; RESONANCE; TEXTURES;

COLOR;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COLOR DISCRIMINATION; COLOR VISION; CONTROLLED STUDY; DIFFUSION; FILTRATION; FUZZY SYSTEM; IMAGE PROCESSING; PHYSICAL PARAMETERS; PRIORITY JOURNAL; PSYCHOPHYSICS; SIGNAL PROCESSING;

EID: 69249213460     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.06.007     Document Type: Article

References (30)

1. G.A. Carpenter, Default ARTMAP, in: Proceedings of the IJCNN'03, Portland, Oregon, 2003, pp. 1396-1401.
2. Carpenter G.A., Grossberg S., Markuzon N., and Reynolds J.H. Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps. Neural Networks 3 5 (1992) 698-713
3. Carpenter G.A., Martens S., and Ogas O.J. Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks. Neural Networks 18 (2005) 287-295
4. S.E. Chelian, G.A. Carpenter, A neural model of colour vision, with applications to image processing and classification, Technical Report CAS/CNS TR-2005-006, Boston University, Boston, MA, 2005.
5. Daugman J.G. Two-dimensional spectral analysis of cortical receptive field profiles. Vision Research 20 (1980) 847-856
6. Gonzalez R.C., and Woods R.E. Digital Image Processing 2/E (2002), Prentice-Hall, New York
7. Greenspan H. Non-parametric texture learning. In: Nayar S., and Poggio T. (Eds). Early Visual Learning (1996), Oxford University Press, London
8. Grossberg S. Outline of a theory of brightness, colour, and form perception. In: Degreef E., and van Buggenhault J. (Eds). Trends in Mathematical Psychology (1984), North-Holland, Amsterdam
9. Grossberg S., and Hong S. A neural model of surface perception: lightness, anchoring, and filling-in. Spatial Vision 19 2 (2006) 263-321
10. Grossberg S., Mingolla E., and Williamson J. Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation. Neural Networks 8 (1995) 1005-1028
11. Grossberg S., and Mingolla E. Neural dynamics of perceptual grouping: textures, boundaries, and emergent segmentations. In: Grossberg S. (Ed). The Adaptive Brain II (1988), North-Holland, Amsterdam (Chapter 3)
12. Grossberg S., and Williamson J.R. A self-organizing neural system for leaning to recognize textured scenes. Vision Research 39 (1999) 1385-1406
13. Hoang M.A., Geusebroek J., and Smeulders A. Colour texture measurement and segmentation. Signal Processing 85 (2005) 265-275
14. Hong S., and Grossberg S. A neuromorphic model for achromatic and chromatic surface representation of natural images. Neural Networks 17 (2004) 787-808
15. Hubel D.H. Eye, Brain and Vision, Scientific American Library vol. 22 (1995), W.H. Freeman, New York p. 70
16. Hubel D.H., and Livingstone M.S. Colour and contrast sensitivity in lateral geniculate body and primary visual cortex of the macaque monkey. The Journal of Neuroscience 10 7 (1990) 2223-2237
17. SourceForge-Open Source Software, Open Computer Vision Library, 2008, 〈http://sourceforge.net/projects/opencvlibrary/〉.
18. Jain A., and Healey G. A multiscale representation including opponent colour features for texture recognition. IEEE Transactions on Image Processing 7 1 (1998) 124-128
19. B. Julesz, J.R. Bergen, Textons, the fundamental elements in preattentive vision and perception of textures, in: O. Firschen (Ed.), Readings in Computer Vision: Issues, Problems, Principles, and paradigms, Morgan kaufmann, 1987.
20. Landy M.S., and Bergen J.R. Texture segregation and orientation gradient. Vision Research 31 4 (1991) 679-693
21. Mirmehdi M., and Petrou M. Segmentation of colour textures. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 2 (2000) 142-159
22. Martin D.R., Fowlkes C.C., and Malik J. Learning to detect natural image boundaries using local brightness, colour, and texture cues. IEEE Transactions on Pattern Analysis and Machine Intelligence (2004) 530-549
23. Mingolla E., Ross W., and Grossberg S. A neural network for enhancing boundaries and surfaces in synthetic aperture radar images. Neural Networks 12 (1999) 499-511
24. Paschos G. Perceptually uniform colour spaces for colour texture analysis: an empirical evaluation. IEEE Transactions on Image Processing 10 6 (2001) 932-937
25. Permuter H., Francos J., and Jermyn I. A study of Gaussian mixture models of colour and texture features for image classification and segmentation. Pattern Recognition 39 (2006) 695-706
26. Pollen D.A., and Ronner S.F. Visual cortical neurons as localized spatial frequency filters. IEEE Transactions on Systems, Man, and Cybernetics SMC-13 15 (1983) 907-916
27. Thai B., and Healey G. Modelling and classifying symmetries using a multiscale opponent colour representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 11 (1998) 1224-1235
28. VisTex database, Massachusetts Institute of Technology, available at 〈http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html〉.
29. Zhong Y., and Jain A.K. Object localization using colour, texture and shape. Pattern Recognition 33 (2000) 671-684
30. Zrenner E. Neurophysiological Aspects of Colour Vision in Primates (1983), Springer, Berlin